Entropy measures for texture analysis based on Hadamard transform

Desoky, A.; Hall, Sue M.

doi:10.1109/secon.1990.117857

Cited by 6 publications

(6 citation statements)

References 3 publications

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“…CONCLUDING REMARKS From the above analysis results, the conclusions are as follows: 1) In elastic stage, part of deformation engergy will be absorbed in materials due to the molecular orientation and it will lead the local temperature to conduct.…”

Section: B the Coupling Magnetic Fieldmentioning

confidence: 96%

“…While the electric charges contained in conductors moving along the direction of current under the force of electric fields, if this conductor is located into a perpendicular magnetic field, the current would deflect transversely both to the moving direction and the magnetic-flux due to the Lorentz force [1,2] . The deflection of positive charges and negative charges are opposite so that the electric potential difference is generated.…”

Section: A the Hall Sensorsmentioning

confidence: 99%

“…It is well known that while placing a currentcarrying conductor or semiconductor into a perpendicular magnetic field, an electric field would appear in transverse sides of body with the direction being both perpendicular to current and magnetic(Hall Effects). The Hall Effect was discovered by A.H.Hall [1] in 1879 and had been advanced by H.A. Lorentz [2] and von Klitzing [3] etc.…”

Section: Introductionmentioning

confidence: 98%

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Magnetic density detection coupling pyromagnetic effect in visco-plastic deformation of a Polyvinyl Chloride sheet

Chen

Luo

Deng

et al. 2011

2011 International Conference on Electrical and Control Engineering

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In tensile viscoplastic deformation process of a Polyvinyl Chloride sheet, a local heterogeneous temperature field emerges around the viscoplastic areas of specimen surface. Rapid changing temperature gradient will lead a pyromagnetic effect. A self developed sensors system is employed to detect the magnetic intensity coupling thermal changes in experiments. In the meanwhile, the local nonuniform temperature field is recorded with a thermal infrared imager and is analyzed.

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Section: B the Coupling Magnetic Fieldmentioning

confidence: 96%

Section: A the Hall Sensorsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 98%

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Magnetic density detection coupling pyromagnetic effect in visco-plastic deformation of a Polyvinyl Chloride sheet

Chen

Luo

Deng

et al. 2011

2011 International Conference on Electrical and Control Engineering

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“…Since the pioneer work of Shannon [11], entropy has been used as a measure of complexity of information content in a signal. In image analysis, entropy of gray-level histogram has been used as a measure for texture analysis [12][13][14].…”

Section: Introductionmentioning

confidence: 99%

“…Desoky and Hall [12], and Jernigan and D'Astous [15] developed entropy techniques that measure the distribution of spectral components of a gray-level image in the frequency domain. They reported that the entropy based on power spectrum is more useful than the one based on gray-level histogram for describing changes in texture.…”

Section: Introductionmentioning

confidence: 99%

Defect Detection of Gold-Plated Surfaces on PCBs Using Entropy Measures

Tsai

Lin

2002

The International Journal of Advanced Manufacturing Technology

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The Use of Neural Networks and Texture Analysis for Rapid Objective Selection of Regions of Interest in Cytoskeletal Images

2012

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Understanding cytoskeletal dynamics in living tissue is prerequisite to understanding mechanisms of injury, mechanotransduction, and mechanical signaling. Real-time visualization is now possible using transfection with plasmids that encode fluorescent cytoskeletal proteins. Using this approach with the muscle-specific intermediate filament protein desmin, we found that a green fluorescent protein-desmin chimeric protein was unevenly distributed throughout the muscle fiber, resulting in some image areas that were saturated as well as others that lacked any signal. Our goal was to analyze the muscle fiber cytoskeletal network quantitatively in an unbiased fashion. To objectively select areas of the muscle fiber that are suitable for analysis, we devised a method that provides objective classification of regions of images of striated cytoskeletal structures into "usable" and "unusable" categories. This method consists of a combination of spatial analysis of the image using Fourier methods along with a boosted neural network that "decides" on the quality of the image based on previous training. We trained the neural network using the expert opinion of three scientists familiar with these types of images. We found that this method was over 300 times faster than manual classification and that it permitted objective and accurate classification of image regions.

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Entropy measures for texture analysis based on Hadamard transform

Cited by 6 publications

References 3 publications

Magnetic density detection coupling pyromagnetic effect in visco-plastic deformation of a Polyvinyl Chloride sheet

Magnetic density detection coupling pyromagnetic effect in visco-plastic deformation of a Polyvinyl Chloride sheet

Defect Detection of Gold-Plated Surfaces on PCBs Using Entropy Measures

The Use of Neural Networks and Texture Analysis for Rapid Objective Selection of Regions of Interest in Cytoskeletal Images

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